1. Counting Elements in a List How many integers in the list from 1 to 10? How many integers in the list from m to n? (assuming m <= n)

2. How many in a list divisible by something: How many positive three digit integers are there? –(this means only the ones that require 3 digits) –999 – 100 + 1 = 900 How many three digit integers are divisible by 5? –think about the definition of divisible by x | y   k  Z, y = kx and then count the k’s that work 100, 101, 102, 103, 104, 105, 106,… 994, 995, 996, 997, 998, 999 20*5 21*5 … 199*5 –count the integers between 20 and 199 –199 – 20 + 1 = 180

3. Probability likelihood of a specific event Sample Space = set of all possible outcomes Event = subset of sample space Equal Probability Formula: –Given a finite sample space S where all outcomes are equally likely –Select an event E from the sample space S –The probability of event E from sample space S:

4. Flipping Two Coins Sample Space = {(H,H), (H,T), (T,H), (T,T)} Probability of no heads Probability of at least one head Probability of same sides on the two coins Note: probability & actual outcomes often differ

5. Standard Playing Cards values: 2,3,4,5,6,7,8,9,10,J,Q,K,A suits: D(  ), H( ), S(  ), C(  ) probability of drawing the Ace of Spades probability of drawing a Spade probability of drawing a face card probability of drawing a red face card

6. Rolling Two Six-Sided Dice Sample Space {(1,1),(1,2),(1,3),(1,4),(1,5),(1,6), (2,1),(2,2),(2,3),(2,4),(2,5),(2,6), … (6,1),(6,2),(6,3),(6,4),(6,5),(6,6 )} Probability of rolling a 10 Probability of rolling a pair

7. Multi-level Probability If I toss a coin once – the probability of Head = ½ If I toss that coin 5 times –the probability of all heads –the probability of exactly 4 heads

8. Multiplication Rule 1 st step can be performed n 1 ways 2 nd step can be performed n 2 ways … K th step can be performed n k ways operation can be performed n 1 *n 2 *…*n k ways Cartesian product n(A)=3, n(B)=2, n(C)=4 –n(AxBxC) = 24 –n(AxB) = 6 n((AxB)xC) = 24

9. Tournament Play Team A and Team B in “Best of 3” Tournament where they each have an equal likelihood of winning each game –Do leaves add up to 1? –Do we have to play 3 games? –Do A and B have an equal chance of winning?

10. What if A wins 2 of every 3 games? Each line for A must have a 2/3 Each line for B must have a 1/3 How likely is A to win the tournament? How likely is B to win the tournament?

11. Using the Multiplication Rule for Selecting a PIN Number of 4 digit PINs of (0,1,2,.) –with repetition allowed = 4*4*4*4=256 –with no repetition allowed = 4*3*2*1=24 Extra Rules : –. (the period) can’t be first or last –0 can’t be first with repetition allowed = 2*4*4*3 without repetition allowed = 2*2*2*1

12. Probabilities with PINs Number of 4 digit PINs of (0,1,2,.) –with repetition allowed = 4*4*4*4=256 –with no repetition allowed = 4*3*2*1=24 What is the probability that your 4 digit PIN has no repeated characters? What is the probability that your 4 digit PIN does have repeated characters? probability of the complement of an event P(E’) = P(E c ) = 1-P(E)

13. Difference Rule Formally If A is a finite set and B  A, then n(A-B) = n(A) – n(B) One Application: probability of the complement of an event P(E’) = P(E c ) = 1-P(E)

14. PINs with less specified length Addition Rule Assume it can be a 2,3 or 4 length PIN Partition the problem number of 2 length PINs w/rep allowed: 4*4 = 16 number of 3 length PINs w/rep allowed: 4*4*4 = 64 number of 4 length PINs w/rep allowed: 4*4*4*4 = 256 Number PINs if allowing length of 2,3 or 4 = 336

15. Addition Rule Formally if A 1  A 2  A 3  …  A k =A and A 1, A 2, A 3,…,A k are pairwise disjoint in other words, if these subsets form a partition of A n(A) = n(A 1 )+n(A 2 )+n(A 3 )+…+n(A k )

16. Another example for Multiplication Rule and Addition Rule How many 3 digit integers are divisible by 5? –How many end in a 0? 9*10*1 = 90 –How many end in a 5? 9*10*1 = 90 –These form a partition with the set of numbers divisible by 5 so –90 + 90 = 180

17. Where Multiplication Rule Doesn’t Work People= {Angel, Bob, Carol, Dan} need to be appointed as –president, vice-president, and treasurer –nobody can hold more than one office –Angel doesn’t want to be president –Only Bob and Dan want to be vice-president

18. Inclusion/Exclusion Rule If there are two sets: n(A  B) = n(A) + n(B) – n(A  B) If there are three sets: n(A  B  C) = n(A) + n(B) + n(C) – n(A  B) – n(A  C) – n(B  C) +n(A  B  C)

19. Permutations Different ways of arranging objects –in a line or circle –without duplication/ all items distinguishable –note: order is taken into account Number of linear permutations of N objects = N! N possible for 1 st position * (N-1) for 2 nd * …* (1) for last Number of circular permutations of N objects = (N-1)! Fix one person, then (N-1) possible for next position * (N-2) for 2 nd * …* (1) for last

20. r-Permutations If there are n things in the set, and you want to line-up only r of them. Example: Class = {Alice, Bob, Carol, Dan} –select a president and a vice president to represent the class

21. Combinations Different ways of selecting objects –Counting Subsets –without duplication/ all items distinguishable –note: order is not taken into account Examples: Class = {Alice, Bob, Carol, Dan} –select two class representatives –select three class representatives

22. Harder Examples selecting “class representatives” Class = {Alice,Bob,Carol,Dan, Erin, Fred} select 2 – no restrictions select 2 – assuming Alice and Bob must stay together select 3 – no restrictions select 3 – assuming Alice and Bob must stay together select 3 – assuming Alice and Bob refuse to serve together

23. Different Types of Members {Alice, Bob, Carol, Dan, Erin, Fred, George, Harry} pink names are girls and blue names are boys 8 people in the set: 3 girls & 5 boys make a 5 member team of 2 girls and 3 boys make a 5 member team that has only one girl make a 5 member team that has no girls make a 5 member team that has at least one girl

24. Permutations but of indistinguishable items Assume you have a set of 15 beads –3 Red –2 Black –4 orange –6 green Select positions of R’s, then B’s, then O’s then G’s

25. Combinations with Repetition {a,b,c,d,e} How many 3-combinations can I make without repetition? How many 3-combinations can I make with unlimited repetition allowed? these are multisets [a,b,c] –not sets {a,b,c} –not tuples (a,b,c)

26. Probability with Combinations Assume there are 32 people in the class And that 7 will be chosen to get extra homework What is the probability that you get extra homework Number of ways to select the “lucky 7” Number of ways to select if “I get HW” P(I get HW)

27. Properties of r-Permutations and proofs of those properties P(n,1) = n P(n,2) = n 2 -n P(n,2) + P(n,1) = n 2 P(n,n) = n! P(n,n-1) = n!

28. Properties of Combinations and their proofs

29. Binomial Theorem (x+y) 2 (x+y) 3 … (x+y) n

30. Notice Similarities The number of Non-negative Integer Solutions of the equation The number of selections, with repetition, of size r from a collection of size n. The number of ways r identical objects can be distributed among n distinct containers.

31. Conditional Probability Probability of B given that A is known to have happened If P(B) = P(B|A) then event B is Independent of event A